Stock monitor project:

This project is built-in for the investor to set the threshold for stock prices and get notified when the stock price is above the threshold.

Tech stack used in the project:

Clone the project
Install docker and docker-compose
Obtain API key from twelvedata.com and add it to .env file
Run the following command to start the project: make up to install and run the docker images for the project which includes the following:
- Cockroachdb
- RabbitMQ
Create your own environment, please refer to .env.example
Run docker compose up to spin up:
- FastAPI server
- Celery
- Celery beat
To terminate the project, run the following commands: make down then docker compose down --volumes
Once you start the project, there will be already defined alert rules for the investor. You can check the rules by going to the following url:
- http://localhost:8000/alert-rules
Export the postman collection from this project to try out the other endpoints.

Followed the DDD pattern to structure the project, applying value-objects, entities,repositories, and events.
Layered architecture, by separating routing logic from business logic and data access logic.
Applying Asynchronous communication pattern between services using RabbitMQ and Celery.
Messaging concepts, segregating commands and events, and using the event-driven architecture to communicate between services.

Creating repository to handle the data access logic, which makes it easier to change the data source in the future, instead of creating pure function to handle the work.
Abstracting classes to make it easier to change the implementation in the future, by following DPI principle, which we let services/functions depends on the higher level not the lower level of implementation details.